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Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework
In this project, our goal is to classify different types of liver tissue on 3D multi-parameter magnetic resonance images in patients with hepatocellular carcinoma. In these cases, 3D fully annotated segmentation masks from experts are expensive to acquire, thus the dataset available for training a p...
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| Veröffentlicht in: | Patch Based Tech Med Imaging (2018) |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7236808/ https://ncbi.nlm.nih.gov/pubmed/32432233 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-00500-9_7 |
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